application security engineer Jobs in Islamabad

application security engineer

data engineer

planning engineer

senior data engineer

agentic ai engineer

backend ai data pipeline engineer

Seeka Technology

<div>Company Description 
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.
Below are the important details you will need to take note of:<ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Use this instead:
Benefits<ul><li>
Fully remote / work-from-home role</li><li>
Flexible working hours within the team&rsquo;s expected schedule and business needs</li><li>
Opportunity to work on real backend, data, and AI infrastructure projects</li><li>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</li><li>
Ongoing growth and development within a fast-moving technology environment</li><li>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</li></ul>
A slightly more polished version:
Benefits<ul><li>
Fully remote / work-from-home position</li><li>
Some flexibility in working hours, depending on team requirements and deliverables</li><li>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</li><li>
Opportunity to contribute to a growing platform with real product and engineering challenges</li><li>
Professional growth in a practical, fast-paced environment</li><li>
Strong potential for long-term progression based on performance, regardless of location</li></ul>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:<ul><li>
ownership</li><li>
real product impact</li><li>
career growth</li><li>
direct exposure to architecture and scaling decisions</li></ul></div>

Backend AI & Data Pipeline Engineer

Try Soft Ai

Job SummaryWe are looking for a highly skilled Full Stack Engineer with strong expertise in the MERN stack, Python backend development, and AI-powered application integration. The ideal candidate will design, develop, and maintain scalable web applications, APIs, and intelligent systems using modern JavaScript frameworks, Python services, and AI/ML technologies.You will work across the entire software development lifecycle &mdash; from frontend UI/UX implementation to backend architecture, cloud deployment, database optimization, and AI feature integration.This is an ONSITE Role based in DHA Phase 2, Islamabad, PakistanKey Responsibilities Frontend Development(MERN)React.js Development<ul><li>Build responsive, scalable, and high-performance web applications using React.js.</li><li>Develop reusable UI components and frontend libraries.</li><li>Implement state management using:</li><li>Redux</li><li>Context API</li><li>Zustand / Recoil (optional)</li><li>Optimize applications for:</li><li>Performance</li><li>SEO</li><li>Accessibility</li><li>Mobile responsiveness</li></ul>UI/UX Integration<ul><li>Convert Figma/Adobe XD designs into responsive interfaces.</li><li>Work with Tailwind CSS, Material UI, Bootstrap, or Chakra UI.</li><li>Implement animations and interactive experiences.</li></ul>Frontend Architecture<ul><li>Implement modular and scalable component architecture.</li><li>Handle client-side routing using React Router.</li><li>Integrate frontend with REST APIs and GraphQL services.</li></ul>Backend DevelopmentNode.js &amp; Express.js<ul><li>Develop scalable RESTful APIs using Node.js and Express.js.</li><li>Implement:</li><li>Authentication &amp; authorization</li><li>Role-based access control (RBAC)</li><li>API security best practices</li><li>Build microservices and event-driven systems.</li><li>Manage middleware, request validation, and error handling.</li></ul>Python Development<ul><li>Develop backend services using Python frameworks such as:</li><li>FastAPI</li><li>Flask</li><li>Django (optional)</li><li>Build AI/ML service layers and data-processing pipelines.</li><li>Create automation scripts, ETL jobs, and AI integrations.</li><li>Design asynchronous processing systems using:</li><li>Celery</li><li>RabbitMQ</li><li>Kafka</li></ul>AI &amp; Machine Learning ResponsibilitiesAI Integration<ul><li>Integrate AI APIs such as:</li><li>OpenAI APIs</li><li>Anthropic APIs</li><li>Gemini APIs</li><li>Hugging Face models</li><li>Build AI-powered features including:</li><li>Chatbots</li><li>AI assistants</li><li>Recommendation systems</li><li>Semantic search</li><li>Document summarization</li><li>OCR pipelines</li><li>n8n</li></ul>LLM Application Development<ul><li>Implement Retrieval-Augmented Generation (RAG) systems.</li><li>Build vector database integrations using:</li><li>Pinecone</li><li>Weaviate</li><li>ChromaDB</li><li>FAISS</li><li>Create prompt engineering pipelines.</li><li>Fine-tune and evaluate AI model outputs.</li></ul>AI InfrastructureWork with:<ul><li>LangChain</li><li>LlamaIndex</li><li>Haystack</li><li>Build AI workflows and agent systems.</li><li>Optimize AI inference performance and token usage.</li><li>n8n</li></ul>Database ManagementMongoDB<ul><li>Design scalable NoSQL database schemas.</li><li>Implement aggregation pipelines and indexing strategies.</li><li>Optimize database performance.</li></ul>SQL Databases (Optional but Preferred)<ul><li>PostgreSQL</li><li>MySQL</li></ul>Vector Databases<ul><li>Manage embeddings and semantic search infrastructure.</li></ul>Cloud &amp; DevOps ResponsibilitiesCloud PlatformsExperience with:<ul><li>AWS</li><li>Azure</li><li>Google Cloud Platform (GCP)</li></ul>Deployment &amp; Infrastructure<ul><li>Containerize applications using Docker.</li></ul>Security Responsibilities<ul><li>Implement secure authentication:</li><li>JWT</li><li>OAuth</li><li>Firebase Auth</li><li>Auth0</li><li>Prevent vulnerabilities:</li><li>XSS</li><li>CSRF</li><li>SQL Injection</li><li>NoSQL Injection</li><li>Secure APIs and AI endpoints.</li><li>Build CI/CD pipelines using:</li><li>GitHub Actions</li><li>GitLab CI/CD</li><li>Jenkins</li></ul>Deploy applications using:<ul><li>Kubernetes</li><li>Docker Compose</li><li>Vercel</li><li>Netlify</li><li>Render</li></ul>Required Technical SkillsCore TechnologiesFrontend<ul><li>React.js</li><li>JavaScript (ES6+)</li><li>TypeScript</li><li>HTML5</li><li>CSS3</li><li>Tailwind CSS</li></ul>Backend<ul><li>Node.js</li><li>Next.js</li><li>Express.js</li><li>Python</li><li>FastAPI / Flask</li></ul>Databases<ul><li>MongoDB</li><li>Redis</li><li>PostgreSQL (preferred)</li></ul>AI/ML<ul><li>OpenAI API</li><li>LangChain</li><li>Vector databases</li><li>Embeddings</li><li>Prompt engineering</li><li>n8n</li></ul>Preferred Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science or related field.</li><li>4+ years of Full Stack development experience.</li><li>Experience building AI-enabled SaaS products.</li><li>Experience with scalable cloud-native architectures.</li><li>Familiarity with MLOps concepts.</li><li>Experience with real-time applications using:</li><li>WebSockets</li><li>Socket.IO</li></ul>This is an ONSITE Role based in DHA Phase 2, Islamabad, PakistanWork Location: In person

Full Stack Engineer

Cplus Soft (Pvt) Ltd

We are hiring a Senior AI Engineer to design and build a next-generation agentic OCR and document processing system. You will own the end-to-end development of a multi-agent pipeline that extracts, validates, and delivers structured data from business documents using AI.This role goes beyond traditional OCR &mdash; you will architect intelligent, self-healing systems that improve accuracy and reduce manual review through targeted AI workflows.Key Responsibilities<ul><li>Design and build a multi-layer AI agent pipeline for document processing</li><li>Develop OCR extraction, classification, and schema mapping systems</li><li>Implement confidence scoring and automated validation logic</li><li>Build self-healing workflows for low-confidence data extraction</li><li>Orchestrate workflows using LangGraph and AWS Step Functions</li><li>Develop and integrate MCP-based AI tools and APIs</li><li>Optimize OCR engines for accuracy, cost, and performance</li><li>Build scalable infrastructure using AWS, Docker, and Terraform</li><li>Ensure system reliability with monitoring, testing, and observabilityRequirements</li><li>5+ years of Python development (production-level)</li></ul>Good to Have<ul><li>Computer vision / OpenCV experience</li><li>Document classification &amp; schema mapping</li><li>Human-in-the-loop (HITL) systems</li><li>LLM observability tools (LangSmith, Arize, etc.)</li><li>Experience with logistics, manufacturing, or document-heavy industries</li><li>2+ years working with LLMs and AI systems</li><li>Experience with LangChain / LangGraph or similar frameworks</li><li>Strong hands-on experience with AWS (Bedrock, Lambda, S3, ECS, Step Functions)</li><li>Solid understanding of OCR and document processing systems</li><li>Experience building APIs (FastAPI) and working with PostgreSQL / OpenSearch</li><li>Familiarity with Docker, Terraform, and cloud infrastructure</li><li>Strong English communication skills (B2+)</li></ul>Application Question(s):<ul><li>What is your current and expected salary?</li><li>Can you join on an immediate basis?</li></ul>Work Location: In person

Senior AI Engineer – Agentic OCR & Document Intelligence

Volga Partners

<div>Office Location: House #571, Street #35, E-11/3, Islamabad, Pakistan
Monthly salary for Full-Time: PKR 150,000 - PKR 400,000
Work Setup: Onsite
About Volga Partners
Volga Partners is a global leader in generative AI (GenAI) innovation, building and deploying advanced AI solutions that drive real-world business transformation. We design intelligent systems, custom large language model (LLM) applications, and next-generation automation that enable organizations to operate smarter, faster, and more efficiently.
Our mission is to make GenAI practical, scalable, and impactful. We go beyond implementation&mdash;specializing in refining and enhancing LLMs with high accuracy across complex, high-value domains including finance, healthcare, legal, and technology. By tailoring models to specific use cases, we enable our partners to achieve measurable outcomes and unlock new growth opportunities.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners brings together diverse perspectives, cultures, and expertise. This diversity fuels innovation and allows us to deliver solutions that are both globally relevant and locally effective.
At Volga Partners, you&rsquo;ll join a collaborative, forward-thinking team solving complex problems, exploring new frontiers in artificial intelligence, and shaping the future of intelligent technology.
Overview
We are hiring a mid-level AI Engineer to build and ship AI-powered features end-to-end.
This is not a junior role &mdash; candidates must have hands-on experience delivering production-ready AI solutions and the ability to independently execute in a fast-paced environment.
You will work closely with founders and product teams to develop intelligent systems such as copilots, chatbots, and automation tools, while ensuring performance, scalability, and reliability. 
Key Responsibilities<ul><li>
Build and ship AI-powered features (chatbots, copilots, automation tools)
</li><li>Design and implement RAG pipelines using embeddings and vector search
</li><li>Write and optimize prompts and system instructions
</li><li>Integrate LLM APIs (OpenAI, Anthropic, etc.) into production systems
</li><li>Develop backend services (Python / Node.js) to support AI workflows
</li><li>Work with real-world data (documents, logs, APIs)
</li><li>Improve system reliability through evaluations, testing, and iteration
</li><li>Debug issues such as hallucinations, latency, and cost inefficiencies
</li><li>Collaborate closely with founders and product team on product direction
</li></ul>Requirements<ul><li>
2+ years of experience in Machine Learning or AI-related roles
</li><li>Strong coding skills in Python or JavaScript
</li><li>Hands-on experience working with LLM APIs
</li><li>Experience building RAG pipelines or agent-based systems
</li><li>Solid understanding of ML fundamentals (fine-tuning is a plus)
</li><li>Proven ability to build and ship production-ready systems
</li></ul>Tech Stack<ul><li>
Python, Node.js
</li><li>OpenAI / Anthropic APIs
</li><li>Vector databases (Pinecone, Chroma)
</li><li>React / Next.js
</li><li>AWS / Vercel
</li><li>LangChain / LlamaIndex
</li><li>Prompt engineering
</li><li>Embeddings + vector search
</li><li>API design and backend systems</li></ul> 
Nice to Have<ul><li>
Experience with LLM evaluation, fine-tuning, or model optimization
</li><li>Exposure to agent frameworks or multi-step reasoning systems
</li><li>Domain experience in finance, healthcare, legal, or other high-accuracy environments</li></ul>
What we Offer<ul><li>
Salary: PKR 150,000 - PKR 400,000 PKR/month (based on experience and alignment with role expectations)</li><li>
Opportunity to own and shape a meaningful internal product</li><li>
Collaborative, low-bureaucracy environment</li><li>
Exposure to cutting-edge AI and automation technologies</li></ul></div>

AI Engineer - AI/LLM (Backend) | Pakistan

Polarity Holdings

Starting Salary: Rs 501,000 PKR / monthSchedule: U.S. Eastern, Monday through FridayLocation: 100% Remote, Full-TimeAbout the RoleFalcon Scaling and PolarityIQ build private capital markets intelligence products. Our clients are family offices, institutional LPs, fund managers, investment banks, and registered investment advisors. They pay premium prices for verified, decision-maker-level intelligence on capital allocators worldwide.We operate a commercially active library of more than two hundred data products spanning family offices, institutional investors, venture capital, private equity, fund of funds, mutual funds, real estate, and high net worth individuals. Our flagship products include Family Office MAX (25,000+ executives across 10,000+ family offices) and LP MAX Bundle (80,000+ contacts across 17,000+ institutional LPs representing over $2 trillion in AUM).The Senior Data Engineer (Full Chain Builder) owns Project NOVA: the three-stage production pipeline that acquires records at scale, enriches them to the granularity capital allocators will pay for, and activates them inside PolarityIQ through agentic retrieval that surfaces signals autonomously.This is hands-on, high-autonomy work. You will build original scraping pipelines, architect multi-provider enrichment waterfalls, deploy production RAG systems, and build the agentic retrieval layer across our intelligence library. You ship products paying customers rely on, not internal demos.Before You ApplyIf your resume does not name a specific client, a real user volume, and what breaks when your system goes down: do not apply.If you have not deployed at least one production RAG system that a non-technical user relied on: do not apply.If Claude Code is not already part of your daily workflow, this role will move too fast for you.CompensationStarting salary is Rs 501,000 PKR per month. The role includes a revenue-sharing component tied directly to your contributions. You are paid weekly, on time.Strong performers regularly see total earnings scale meaningfully within the first four to eight weeks, with continued upside as contributions compound. On-target monthly earnings can exceed Rs 1,000,000 PKR within six to eight months.How You Enter &mdash; The 30-Day SprintThis role begins with a paid, deliverable-based 30-Day Build and Monetization Sprint at Rs 501,000 per month. You do not need to leave your current position. You operate on your own schedule, deploy existing products against real demand, and report what happens when your work meets the market.This is not a trial period. It is a real operating environment. At day 31, both sides hold 30 days of evidence. You will know whether the earnings trajectory and autonomy are real. We will know how you operate under real conditions.What You'll OwnAcquire &mdash; Sourcing and Scraping<ul><li>Build scraping pipelines against family office sites, regulatory filings, SEC EDGAR, state corporate registration databases, and professional networks.</li><li>Handle production anti-bot environments &mdash; Cloudflare, DataDome, PerimeterX &mdash; through residential proxies, CAPTCHA solvers, and stealth browser configurations.</li><li>Orchestrate recurring scraping with Apache Airflow, Prefect, or equivalent. Scheduled, monitored, recoverable.</li><li>Validate sourced records against schema contracts using Pydantic or equivalent. Every record passes the validation gate before entering the pipeline.</li></ul>Enrich &mdash; Multi-Provider Waterfalls<ul><li>Build and manage multi-source enrichment waterfalls using Clay.com, Apollo, Hunter, People Data Labs, Clearbit, and similar platforms.</li><li>Know the cost, coverage, and reliability tradeoffs between providers field by field. Build waterfalls that minimize cost while maximizing coverage.</li><li>Add granularity dimensions that matter: decision-maker layer, investment thesis, activity signals, relationship graph, structural classification, validation metadata.</li><li>Apply data hygiene principles across all pipelines: bounce rates, email verification, contact scoring, stale record detection.</li><li>Operate orchestration tooling that lets enrichment chains run end-to-end without manual stitching: n8n, Apache Airflow, Prefect, Make, or equivalent. The waterfall is one workflow, not a sequence of disconnected scripts.</li><li>Build cost-efficient pipelines that scale without proportional cost growth.</li></ul>Activate &mdash; Agentic RAG and RetrievalPolarityIQ's core intelligence layer is built on RAG. This is not experimental. It is the foundation of how our platform transforms raw family office data into queryable, actionable intelligence.<ul><li>Architect end-to-end RAG systems: document ingestion, chunking strategy, embedding model selection, vector database architecture, retrieval pipeline design.</li><li>Select and justify vector database choices (ChromaDB, Pinecone, Supabase pgvector, Weaviate, or equivalent) based on cost, latency, and scale requirements.</li><li>Implement hybrid retrieval strategies combining semantic vector search with keyword matching (BM25) for higher relevance and accuracy.</li><li>Build retrieval evaluation loops. Assess whether your system returns accurate, grounded results and diagnose when it does not.</li><li>Design and deploy autonomous AI agents using LangChain, CrewAI, or equivalent frameworks. Agents that gather, validate, and synthesize intelligence across data sources.</li><li>Integrate agentic workflows into the PolarityIQ platform so users receive signal delivery, not just search results.</li></ul>Database Architecture<ul><li>Own the architecture, integrity, and growth of PolarityIQ's core intelligence database.</li><li>Design and manage relational schema across Supabase/PostgreSQL, ensuring normalization, indexing, and query performance at scale.</li></ul>Technical StackScraping and AcquisitionScrapy, Playwright, curl_cffi, BeautifulSoup, Requests. Apify, Phantombuster, Browse AI at production scale. Anti-bot fluency: Cloudflare, DataDome, PerimeterX (named experience, not theoretical). Proxies: Bright Data, Oxylabs, Zyte, Smartproxy. CAPTCHA solvers: 2Captcha, Anti-Captcha, CapSolver. Orchestration: Apache Airflow, Prefect, AWS Lambda.EnrichmentClay.com as primary environment: tables, waterfalls, formulas, AI columns. Provider depth: Apollo, Hunter, People Data Labs, Clearbit, BetterContact, Cognism. Validation: Pydantic, Pandera, or Great Expectations applied to scraping output.RAG and Agentic SystemsProduction RAG deployment covering document ingestion, chunking, embeddings, hybrid retrieval, re-ranking, grounding. Vector databases: ChromaDB, Pinecone, Supabase pgvector, Weaviate. Agent frameworks: LangChain, CrewAI, LlamaIndex. LLM APIs: OpenAI, Anthropic Claude, Gemini, with understanding of cost, latency, and reliability tradeoffs.Claude Code &mdash; Non-NegotiableYou operate Claude Code in terminal-based, agentic workflows. Not as a code completer but as a development collaborator you direct, correct, and build with autonomously. You know its limits and call them without hand-holding.Development and InfrastructureBackend with Python, Node.js, or similar. SQL, relational schema design, query optimization. Managed platforms (Supabase, PostgreSQL). API integration (REST, GraphQL, webhooks). Git / GitHub.Who You AreThe technical skills matter. This section matters more.You take ownership before being asked. You measure yourself by outcomes, not activity. You are honest, even when it is uncomfortable. You are reliable, not occasionally but consistently. You are resourceful enough to treat every dollar spent like it is coming out of your own pocket.Your thought process is disciplined. You verify before you assert. You distinguish between facts, inferences, and conclusions, and you never conflate them. You test your assumptions before acting. You are willing to challenge your own hypotheses when the evidence points elsewhere.You use AI extensively but think independently first. Claude Code feels like a natural extension of how you work. You know when it is wrong, when it is shallow, and when to apply the human layer of judgment no prompt can replicate.You communicate in flawless English. Your first draft should be publishable. You do not require heavy editing cycles.Job Type: Full-timePay: Rs501,000.00 per monthEducation:<ul><li>Master's (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Senior Data Engineer

Agency VA

Job SummaryAgency VA Pakistan is seeking a skilled and forward-thinking AI Engineer with 2+ years of experience to design, develop, and deploy advanced artificial intelligence solutions that improve business operations and enhance internal systems. The ideal candidate will have hands-on experience in machine learning, natural language processing, conversational AI, and large language model integrations, with a strong command of Python and modern AI frameworks.The selected candidate will play a key role in developing AI-powered tools, workflow automation systems, intelligent assistants, and data-driven solutions to support business growth across multiple departments.Key Responsibilities<ul><li>Design, develop, and deploy AI-driven applications aligned with organizational requirements</li><li>Build and optimize intelligent chatbots and virtual assistants for internal and external use</li></ul>Develop NLP models for:<ul><li>Intent recognition</li><li>Entity extraction</li><li>Sentiment analysis</li><li>Automated response generation</li></ul>Integrate large language models (LLMs) using APIs such as:<ul><li>OpenAI</li><li>Claude</li><li>Other enterprise AI platforms</li></ul>Create scalable AI workflows using tools such as:<ul><li>LangChain</li><li>Vector databases</li><li>Retrieval-augmented generation (RAG)</li></ul>Collaborate with product, operations, and engineering teams to identify automation opportunitiesImprove AI model performance for:<ul><li>Accuracy</li><li>Speed</li><li>Reliability</li></ul>Deploy and monitor AI models in production environmentsMaintain technical documentation for AI systems and workflowsResearch and implement emerging AI technologies that can improve company efficiencyRequired Skills &amp; QualificationsMinimum 2+ years of experience in AI Engineering, NLP, or Machine Learning rolesBachelor&rsquo;s degree in:<ul><li>Computer Science</li><li>Artificial Intelligence</li><li>Data Science</li><li>Software Engineering &amp; Related field</li></ul>Strong proficiency in PythonExperience with AI/ML libraries such as:<ul><li>TensorFlow</li><li>PyTorch</li><li>Scikit-learn</li></ul>Hands-on experience with:<ul><li>NLP model development</li><li>LLM integrations</li></ul>Prompt engineeringExperience working with:<ul><li>REST APIs</li></ul>Backend system integrationsStrong understanding of:<ul><li>NLP pipelines</li><li>Deep learning</li><li>Model optimization</li></ul>Excellent analytical and problem-solving skillsStrong verbal and written communication skillsPreferred QualificationsExperience with cloud platforms such as:<ul><li>AWS</li><li>Azure</li></ul>Google CloudKnowledge of:<ul><li>Vector databases</li><li>RAG pipelines</li><li>AI orchestration tools</li></ul>Experience with Docker or containerized deploymentsFamiliarity with agile development environmentsContributions to AI or open-source projects are an advantageWhat We OfferCareer growth in a rapidly expanding technology environmentExposure to cutting-edge AI tools and enterprise systemsCollaborative and innovation-driven workplaceOpportunity to work with international teamsWork LocationThis position is on-site at Agency VA Pakistan Office, 1st Floor, Executive Complex, G-8 Markaz, Sector G-8, Islamabad, with occasional collaboration across regional and global teams.Pay: From Rs200,000.00 per monthApplication Question(s):<ul><li>This is a full time night shift position with working timings 6 PM to 3 AM Pakistan Standard Time and working days Monday to Friday. Our office is located in G-8 Markaz, Sector G-8, Islamabad. Are you comfortable working in this arrangement?</li><li>What is your current Salary?</li><li>What is your expected Salary?</li></ul>Experience:<ul><li>AI Automation: 3 years (Required)</li></ul>Work Location: In person

AI Engineer

Cloudelligent

<div>Position Title: Integration Support Engineer 
Job Timings: 8am- 5pm CST (Central Time USA) 
Location: Islamabad 
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups, SMB &amp; the public sector (Non-Profit Organizations). Being a next-gen cloud service provider, we help customers to break free from hardware lifecycle and capital expenditures, allowing them to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.<h2 class="jobSectionHeader">
Job Objective</h2>
This is a client-facing, collaborative role. Strong written and verbal communication skills are essential, as it is a high degree of attention to detail and responsiveness. The ideal candidate takes ownership of their workload, communicates proactively, and consistently meets deadlines without requiring close supervision. The position is technical and backend-focused, centered on configuring, supporting, and enhancing integration services rather than core product feature development. 
Responsibilities<ul><li>
Triage, prioritize, and resolve integration tickets in close collaboration with the client.</li><li>
Perform data mapping between Core, Enterprise, and third-party systems.</li><li>
Install, configure, and maintain integration services, including ODBC, EWA, FUSE, and related connectors.</li><li>
Implement service-level code adjustments to support integration workflows.</li><li>
Modify and optimize data transformation logic across systems.</li><li>
Troubleshoot integration failures, connectivity issues, and data inconsistencies</li><li>
Communicate clearly and promptly with the client on ticket status, blockers, and progress.</li><li>
Support backend integration deployments in Windows and Linux environments.</li><li>
Document integration, configurations, resolutions, and system dependencies.</li></ul>
Requirements<ul><li>
4+ years of experience with SQL and database architecture</li><li>
4+ years of experience with data mapping and ETL processes</li><li>
Hands-on experience configuring backend services and system-level integrations</li><li>
Familiarity with ODBC connectivity and database drivers</li><li>
Experience working with integration services and middleware tools</li><li>
Ability to make targeted code updates in service-layer environments</li><li>
Working knowledge of Python, Java, or similar backend languages</li><li>
Understanding of data structures, system connectivity, and backend troubleshooting</li><li>
Exceptional written and verbal communication, able to provide clear, timely updates to clients and internal team members</li><li>
High attention to detail, accurate documentation and thorough validation are non-negotiable</li><li>
Strong responsiveness, expected to be reachable and reply promptly during US business hours</li><li>
Self-directed and dependable, manages workload independently and flags blockers early</li><li>
Collaborative, works effectively within established client workflows and adapts quickly to existing processes</li></ul>
Good to have<ul><li>
Experience in enterprise SaaS or legal technology environments</li><li>
Experience with proprietary or custom integration services</li><li>
Exposure to API-based integrations and service configuration</li><li>
Familiarity with data warehouse environments</li><li>
Prior experience in a contractor or embedded client-facing role</li></ul>
Success in This Role Looks Like<ul><li>
Consistent, timely resolution of integration tickets with clear client communication throughout.</li><li>
Accurate and stable data flow between connected systems.</li><li>
Proactive status updates, no client should have to chase for an answer.</li><li>
Clean documentation and repeatable configuration processes.</li><li>
Backlog reduced steadily while new items are handled without bottleneck.</li></ul>
9XAOl2ZBbF</div>

Integration Support Engineer

Explore 274+ Backend ai data pipeline engineer in Islamabad this May. Find roles across top companies and apply now to boost your career.